Indiana Boys Preseason Composite XC Team Scores Rankings

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Find out who our data based ranking system projects in the preseason as the top returning boys cross country squads in the state of Indiana.

1Carmel High School (IN)2.261135000m 1-4 Average (15:57.63)
2Fishers High School (IN)3.262115000m 1-4 Average (16:00.23)
3Indianapolis Cathedral High School (IN)9.041425000m 1-2 Gap (44.30)
4Westfield High School (IN)11.54345000m 1-2 Gap (29.70)
5Noblesville High School (IN)12.31215000m 1-4 Average (16:32.53)
6Pendleton Heights High School (IN)12.71203200m 1-4 Average (10:35.05)
7West Lafayette High School (IN)13.34245000m 1-4 Average (16:32.91)
8Avon High School (IN)13.73385000m 1-3 Gap (54.70)
9Hamilton Southeastern High School (IN)15.13325000m 1-2 Gap (28.40)
10West Noble High School (IN)15.211215000m 1-4 Gap (47.00)
11Homestead High School (IN)15.89325000m 1-3 Gap (50.10)
12Valparaiso High School (IN)16.58265000m 1-4 Gap (53.00)
13Brownsburg High School (IN)17.43253200m 1-4 Average (10:44.64)
14Crown Point High School (IN)18.34435000m 1-2 Gap (51.00)
15Bloomington North High School (IN)18.76415000m 1-5 Gap (1:35.30)
16Huntington North High School (IN)19.19315000m 1-4 Average (16:39.67)
17Floyd Central High School (IN)19.46405000m Top 4
18Elkhart Memorial High School (IN)19.87415000m 1-4 Average (16:51.81)
19Lawrence North High School (IN)20.85495000m 1-5 Average (17:13.38)
20Zionsville Community High School (IN)224165000m 1-3 Gap (29.30), Not Enough Data
21Bloomington South High School (IN)22.12205000m 1-3 Gap (33.80), Not Enough Data
22North Central High School (Indianapolis) (IN)22.25255000m 1-4 Average (16:20.43), Not Enough Data
23Chesterton High School (IN)22.65401600m Top 4
24West Lafayette Harrison High School (IN)23.77435000m 1-5 Gap (1:51.00)
25Terre Haute North Vigo High School (IN)26.79455000m 1-4 Average (16:58.40)
26Franklin Community High School (IN)27.19255000m 1-3 Gap (38.70), Not Enough Data
27Westview High School (IN)27.94235000m 1-5 Gap (1:08.20), Not Enough Data
28Fort Wayne Northrop High School (IN)28.513485000m 1-5 Gap (2:30.30)
29Guerin Catholic School (IN)28.810505000m 1-3 Gap (1:57.90)
30Fort Wayne Carroll High School (IN)29.25475000m 1-2 Gap (1:03.20), Not Enough Data
31Highland High School (IN)31.420405000m 1-4 Gap (1:22.80)
32Lowell High School (IN)31.419465000m 1-5 Gap (2:13.30)
33Christian Academy of Indiana (IN)32.56485000m 1-3 Gap (1:24.80), Not Enough Data
34Portage High School (IN)33.422325000m 1-4 Gap (1:05.00), Not Enough Data
35Columbus North High School (IN)33.814355000m 1-4 Gap (1:14.81), Not Enough Data
36Austin High School (IN)34.22355000m 1-4 Average (16:43.65), Not Enough Data
37Wawasee High School (IN)36.13365000m 1-5 Gap (1:25.86), Not Enough Data
38Fort Wayne Snider High School (IN)36.717465000m 1-2 Gap (1:01.90), Not Enough Data
39Center Grove High School (IN)37.79375000m 1-4 Average (16:46.28), Not Enough Data
40Bellmont High School (IN)38.329485000m 1-4 Average (17:01.50), Not Enough Data
41Lake Central High School (IN)39.021425000m 1-4 Average (16:53.75), Not Enough Data
42Jennings County High School (IN)39.52505000m 1-5 Gap (3:10.00)
43Concord Community High School (IN)39.71435000m 1-4 Average (16:56.46), Not Enough Data
44Tell City High School (IN)40.326495000m 1-4 Gap (1:48.00), Not Enough Data
45New Prairie High School (IN)40.820415000m 1-5 Average (17:03.44), Not Enough Data
46Edgewood High School (IN)45.134505000m 1-2 Gap (2:00.39), Not Enough Data
47Fort Wayne Concordia Lutheran High School (IN)46.633495000m 1-3 Gap (1:30.64), Not Enough Data

What are composite team rankings?

A few years ago, MileSplit developed a data based number-cruncher system to rank cross country teams called "composite" team rankings. The rather complicated algorithm takes into account both cross country and track seasons, based on various categories and weights. It even indicates what the computer believes the biggest weakness is at this point.

Teams that did not have much of a track season or did not have at least four of their top distance runners out for track may see their scores drop. However, teams that busted it and looked great this past spring will show higher. Hopefully it is a good balance to predict who is strong coming in! It does not necessarily take into account any new freshman or transfers.

The score represents the team's weighted composite average rank across all categories. The highest column represents the highest ranking they received in a category, and conversely the lowest is the worst ranking they received in a category.

If you pull up the XC Team Scores page, you'll see a link to "Composite" scoring. This is a type of scoring that gives a team a rank on a number of different categories, with different weights on each:

  • XC 5K Team Rank (normal)
  • XC 5K 1-5 Split
  • XC 5K 1-5 Average
  • XC 5K 1-4 Rank (normal)
  • XC 5K 1-4 Split
  • XC 5K 1-4 Average
  • XC 5K 1-3 Split
  • XC 5K 1-2 Split
  • Outdoor 1600m Top 4 (normal)
  • Outdoor 1600m Top 4 Average
  • Outdoor 3200m Top 4 (normal)
  • Outdoor 3200m Top 4 Average

By using all of these factors and weighting them appropriately, we should get a really good and balanced idea of who are the best teams. This is especially designed for returning teams.